TY - GEN
T1 - Complexity measurements for analysis and diagnosis of early ventricular fibrillation
AU - Yu, Dejin
AU - Small, M.
AU - Harrison, R. G.
AU - Robertson, C.
AU - Clegg, G.
AU - Holzer, M.
AU - Sterz, F.
PY - 1999/9/29
Y1 - 1999/9/29
N2 - We present complexity measurements from ECG signals during ventricular fibrillation (VF) using the Gaussian kernel algorithm. Ten ECG data sets of early VF among 53 pig subjects are selected for such analysis. A single test uses a segment of 33.33 seconds and 15 measurements are made on each ECG trace over sliding windows with a skipping length of 10 seconds. It has been shown that the early VF contains approximately 80%-90% low-dimensional deterministic dynamics and approximately 10%-20% high-dimensional component. Dimensions differ from subject to subject and segment to segment, with D2(overbar) to approximately 5, and entropy is positive. For a given ECG trace, variation in dimension along the data is within ±1.0 around its mean value and no monotonic trend exists. Further, the measurements reveal the existence of complex structure within 3 minutes, which is consistent with periodicity analysis.
AB - We present complexity measurements from ECG signals during ventricular fibrillation (VF) using the Gaussian kernel algorithm. Ten ECG data sets of early VF among 53 pig subjects are selected for such analysis. A single test uses a segment of 33.33 seconds and 15 measurements are made on each ECG trace over sliding windows with a skipping length of 10 seconds. It has been shown that the early VF contains approximately 80%-90% low-dimensional deterministic dynamics and approximately 10%-20% high-dimensional component. Dimensions differ from subject to subject and segment to segment, with D2(overbar) to approximately 5, and entropy is positive. For a given ECG trace, variation in dimension along the data is within ±1.0 around its mean value and no monotonic trend exists. Further, the measurements reveal the existence of complex structure within 3 minutes, which is consistent with periodicity analysis.
UR - http://www.scopus.com/inward/record.url?scp=0033282265&partnerID=8YFLogxK
U2 - 10.1109/CIC.1999.825896
DO - 10.1109/CIC.1999.825896
M3 - Conference contribution
AN - SCOPUS:0033282265
SN - 0-7803-5614-4
VL - 26
T3 - Computers in Cardiology
SP - 21
EP - 24
BT - Computers in Cardiology 1999. Vol.26
PB - Institute of Electrical and Electronics Engineers
T2 - The 26th Annual Meeting: Computers in Cardiology 1999
Y2 - 26 September 1999 through 29 September 1999
ER -